Data Scientist / Applied Machine Learning Engineer


San Francisco, CA

Industry: Software


Not Specified years

Posted 348 days ago

  by    Gail Forbes

?Data scientist / Applied Machine learning engineer.


Breaking down business problems into statistical and machine learning problem formulations for actionable insights

Develop robust anomaly detection models based on textual, time series data

Use machine learning methods to produce insights from infrastructure and configuration data

Use feature engineering to extract the best features for a problem and apply suitable regularization techniques for robust analysis

Create new statistical models to correlate data from several different sources

Create quality software in Python and Java to access, process and analyze data


BS Degree Computer Science or related field from an accredited university (MS Degree preferred)

Good applied statistics skills, such as distributions, statistical testing, regression, etc.

Solid understanding of data structures, algorithms, object oriented design and patterns

Excellent understanding of machine learning techniques and algorithms, such as k-means, k-NN, Naive Bayes, SVM, Decision Forests, HMM, Neural nets, Deep learning etc.

Hands on programming experience with Java//Python

Experience building highly scalable solutions in real-time analysis for large data sets

Data-oriented personality

Effective communicator who can work with stakeholders to define requirements

$160K - $200K